Role Description Configure/maintain/apply security patches to the infrastructure on which the data platform is based, ensure the deployment and the CI/CD of the data or ML delivery. Monitor the performance of the data pipeline and/or the ML models.

Key Objectives

Install our tools needed to access our data and manipulate it

Implement and configure the tools applying the Companies guidelines

Apply security patches to the different infrastructural components

Analyze and apply if it’s possible the FinOps rules to the different infrastructural components for saving costs purposes

Configure and maintain the different DBs engine we have on AWS (rds, redshift, postgres standalone installation) something like a DBA

Work with the Data Architect to ensure development is aligned with the target architecture.

Develop, Deploy & Maintain the pipelines used in the Data Platform and the local accounts (CT, LO & AS).

Operationalize the ML models within the Data Platform.

Maintain and monitor the different environments for each country (CT, LO & AS)

Configure networking rules on aws account (NACLs, Route table, security groups)





Execute Disaster Recovery Test to ensure the data availability in case of Real Disaster

Support the Developers and Architecture communities analyzing and fixing issue on the different layers on Data Foundation Train and local Teams (CT, LO & AS)

Main Responsibilities

Maintain an agile mindset every day.

Interact with security, networking and platform teams to have a secure infrastructure and guarantee a stable environment to the stakeholders

Deployment of the pipeline to ensure high quality and efficiency of the release process and also in the production environment.

Work closely with the Data Architect to monitor the target architecture.

Communicate with Scrum Master to elevate impediments or improvement for the wagon.

They work closely with the MLops Devs and data scientists to operationalize the ML models within the Data Platform.

Work closely with the Product Owner and Scrum Master to execute the task assigned to achieve the goal of the wagon.

Participate in team and train ceremonies: PI planning, Sprint planning, Retrospectives, Daily scrum or stand up meetings.

📌 MLOps Engineer (Madrid)
🏢 Admiral Europe Tech
📍 Madrid